Overview

Dataset statistics

Number of variables82
Number of observations1836
Missing cells120383
Missing cells (%)80.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory642.2 B

Variable types

Numeric76
DateTime3
Categorical3

Warnings

2019-ncov_nucleic_acid_detection has constant value "-1.0" Constant
patient_id has 1706 (92.9%) missing values Missing
hypersensitive_cardiac_troponini has 1690 (92.0%) missing values Missing
hemoglobin has 1521 (82.8%) missing values Missing
serum_chloride has 1539 (83.8%) missing values Missing
prothrombin_time has 1647 (89.7%) missing values Missing
procalcitonin has 1704 (92.8%) missing values Missing
eosinophils(%) has 1527 (83.2%) missing values Missing
interleukin_2_receptor has 1763 (96.0%) missing values Missing
alkaline_phosphatase has 1555 (84.7%) missing values Missing
albumin has 1553 (84.6%) missing values Missing
basophil(%) has 1527 (83.2%) missing values Missing
interleukin_10 has 1763 (96.0%) missing values Missing
total_bilirubin has 1555 (84.7%) missing values Missing
platelet_count has 1527 (83.2%) missing values Missing
monocytes(%) has 1527 (83.2%) missing values Missing
antithrombin has 1744 (95.0%) missing values Missing
interleukin_8 has 1763 (96.0%) missing values Missing
indirect_bilirubin has 1561 (85.0%) missing values Missing
red_blood_cell_distribution_width_ has 1541 (83.9%) missing values Missing
neutrophils(%) has 1527 (83.2%) missing values Missing
total_protein has 1554 (84.6%) missing values Missing
quantification_of_treponema_pallidum_antibodies has 1743 (94.9%) missing values Missing
prothrombin_activity has 1648 (89.8%) missing values Missing
hbsag has 1743 (94.9%) missing values Missing
mean_corpuscular_volume has 1527 (83.2%) missing values Missing
hematocrit has 1527 (83.2%) missing values Missing
white_blood_cell_count has 1477 (80.4%) missing values Missing
tumor_necrosis_factorα has 1763 (96.0%) missing values Missing
mean_corpuscular_hemoglobin_concentration has 1527 (83.2%) missing values Missing
fibrinogen has 1677 (91.3%) missing values Missing
interleukin_1β has 1763 (96.0%) missing values Missing
urea has 1552 (84.5%) missing values Missing
lymphocyte_count has 1527 (83.2%) missing values Missing
ph_value has 1723 (93.8%) missing values Missing
red_blood_cell_count has 1477 (80.4%) missing values Missing
eosinophil_count has 1527 (83.2%) missing values Missing
corrected_calcium has 1559 (84.9%) missing values Missing
serum_potassium has 1536 (83.7%) missing values Missing
glucose has 1605 (87.4%) missing values Missing
neutrophils_count has 1527 (83.2%) missing values Missing
direct_bilirubin has 1555 (84.7%) missing values Missing
mean_platelet_volume has 1549 (84.4%) missing values Missing
ferritin has 1757 (95.7%) missing values Missing
rbc_distribution_width_sd has 1541 (83.9%) missing values Missing
thrombin_time has 1677 (91.3%) missing values Missing
(%)lymphocyte has 1527 (83.2%) missing values Missing
hcv_antibody_quantification has 1743 (94.9%) missing values Missing
d-d_dimer has 1657 (90.3%) missing values Missing
total_cholesterol has 1555 (84.7%) missing values Missing
aspartate_aminotransferase has 1554 (84.6%) missing values Missing
uric_acid has 1552 (84.5%) missing values Missing
hco3- has 1552 (84.5%) missing values Missing
calcium has 1537 (83.7%) missing values Missing
amino-terminal_brain_natriuretic_peptide_precursor(nt-probnp) has 1701 (92.6%) missing values Missing
lactate_dehydrogenase has 1554 (84.6%) missing values Missing
platelet_large_cell_ratio_ has 1549 (84.4%) missing values Missing
interleukin_6 has 1763 (96.0%) missing values Missing
fibrin_degradation_products has 1744 (95.0%) missing values Missing
monocytes_count has 1527 (83.2%) missing values Missing
plt_distribution_width has 1549 (84.4%) missing values Missing
globulin has 1555 (84.7%) missing values Missing
γ-glutamyl_transpeptidase has 1555 (84.7%) missing values Missing
international_standard_ratio has 1648 (89.8%) missing values Missing
basophil_count(#) has 1527 (83.2%) missing values Missing
2019-ncov_nucleic_acid_detection has 1680 (91.5%) missing values Missing
mean_corpuscular_hemoglobin_ has 1527 (83.2%) missing values Missing
activation_of_partial_thromboplastin_time has 1675 (91.2%) missing values Missing
high_sensitivity_c-reactive_protein has 1615 (88.0%) missing values Missing
hiv_antibody_quantification has 1744 (95.0%) missing values Missing
serum_sodium has 1539 (83.8%) missing values Missing
thrombocytocrit has 1549 (84.4%) missing values Missing
esr has 1737 (94.6%) missing values Missing
glutamic-pyruvic_transaminase has 1555 (84.7%) missing values Missing
egfr has 1552 (84.5%) missing values Missing
creatinine has 1552 (84.5%) missing values Missing
df_index has unique values Unique
eosinophils(%) has 145 (7.9%) zeros Zeros
basophil(%) has 69 (3.8%) zeros Zeros
hbsag has 45 (2.5%) zeros Zeros
eosinophil_count has 143 (7.8%) zeros Zeros
basophil_count(#) has 66 (3.6%) zeros Zeros

Reproduction

Analysis started2021-04-05 16:34:03.271743
Analysis finished2021-04-05 16:34:03.720845
Duration0.45 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct1836
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3014.532135
Minimum3
Maximum6117
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:03.818125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile265.5
Q11475.25
median3008
Q34561.75
95-th percentile5782.75
Maximum6117
Range6114
Interquartile range (IQR)3086.5

Descriptive statistics

Standard deviation1774.512345
Coefficient of variation (CV)0.5886526552
Kurtosis-1.21086256
Mean3014.532135
Median Absolute Deviation (MAD)1544
Skewness0.01681019907
Sum5534681
Variance3148894.064
MonotocityNot monotonic
2021-04-05T18:34:03.902284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40901
 
0.1%
54301
 
0.1%
8901
 
0.1%
9161
 
0.1%
13401
 
0.1%
13421
 
0.1%
13441
 
0.1%
33931
 
0.1%
54461
 
0.1%
13521
 
0.1%
Other values (1826)1826
99.5%
ValueCountFrequency (%)
31
0.1%
41
0.1%
61
0.1%
111
0.1%
171
0.1%
ValueCountFrequency (%)
61171
0.1%
61111
0.1%
61101
0.1%
61081
0.1%
61001
0.1%

patient_id
Real number (ℝ≥0)

MISSING

Distinct130
Distinct (%)100.0%
Missing1706
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean187.1923077
Minimum2
Maximum374
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:03.978709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile13.8
Q195.5
median184.5
Q3287.25
95-th percentile359.3
Maximum374
Range372
Interquartile range (IQR)191.75

Descriptive statistics

Standard deviation112.9457643
Coefficient of variation (CV)0.6033675513
Kurtosis-1.224230549
Mean187.1923077
Median Absolute Deviation (MAD)100
Skewness-0.01042480835
Sum24335
Variance12756.74568
MonotocityNot monotonic
2021-04-05T18:34:04.052141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261
 
0.1%
191
 
0.1%
2881
 
0.1%
21
 
0.1%
2041
 
0.1%
2481
 
0.1%
3361
 
0.1%
471
 
0.1%
111
 
0.1%
251
 
0.1%
Other values (120)120
 
6.5%
(Missing)1706
92.9%
ValueCountFrequency (%)
21
0.1%
41
0.1%
61
0.1%
81
0.1%
91
0.1%
ValueCountFrequency (%)
3741
0.1%
3721
0.1%
3701
0.1%
3691
0.1%
3681
0.1%
Distinct1374
Distinct (%)75.2%
Missing8
Missing (%)0.4%
Memory size14.5 KiB
Minimum2020-01-10 20:38:00
Maximum2020-02-18 17:38:00
2021-04-05T18:34:04.130500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-05T18:34:04.206684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

age
Real number (ℝ≥0)

Distinct70
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.44172113
Minimum18
Maximum95
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:04.287419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile30
Q147
median62
Q371
95-th percentile83
Maximum95
Range77
Interquartile range (IQR)24

Descriptive statistics

Standard deviation16.46300061
Coefficient of variation (CV)0.2769603622
Kurtosis-0.750253855
Mean59.44172113
Median Absolute Deviation (MAD)11
Skewness-0.3150205799
Sum109135
Variance271.0303892
MonotocityNot monotonic
2021-04-05T18:34:04.361076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5769
 
3.8%
6767
 
3.6%
6863
 
3.4%
6960
 
3.3%
6559
 
3.2%
6256
 
3.1%
6155
 
3.0%
5151
 
2.8%
7051
 
2.8%
6651
 
2.8%
Other values (60)1254
68.3%
ValueCountFrequency (%)
182
 
0.1%
193
 
0.2%
222
 
0.1%
269
 
0.5%
2734
1.9%
ValueCountFrequency (%)
953
 
0.2%
942
 
0.1%
927
0.4%
918
0.4%
905
0.3%

gender
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1
1137 
2
699 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
11137
61.9%
2699
38.1%
Distinct359
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
Minimum2020-01-10 15:52:20
Maximum2020-02-17 18:56:09
2021-04-05T18:34:04.492217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-05T18:34:04.564666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct358
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size14.5 KiB
Minimum2020-01-23 09:09:23
Maximum2020-03-04 16:21:51
2021-04-05T18:34:04.641708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-05T18:34:04.717327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

outcome
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
989 
1
847 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
0989
53.9%
1847
46.1%

hypersensitive_cardiac_troponini
Real number (ℝ≥0)

MISSING

Distinct123
Distinct (%)84.2%
Missing1690
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean1467.289726
Minimum1.9
Maximum50000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:04.858649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile1.9
Q15.225
median22.05
Q3162.625
95-th percentile6330.725
Maximum50000
Range49998.1
Interquartile range (IQR)157.4

Descriptive statistics

Standard deviation6297.738818
Coefficient of variation (CV)4.292089494
Kurtosis48.40977137
Mean1467.289726
Median Absolute Deviation (MAD)20.15
Skewness6.695740858
Sum214224.3
Variance39661514.22
MonotocityNot monotonic
2021-04-05T18:34:04.934694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.918
 
1.0%
19.22
 
0.1%
2.22
 
0.1%
500002
 
0.1%
5.22
 
0.1%
27.62
 
0.1%
9.72
 
0.1%
131.61
 
0.1%
4.81
 
0.1%
10.41
 
0.1%
Other values (113)113
 
6.2%
(Missing)1690
92.0%
ValueCountFrequency (%)
1.918
1.0%
21
 
0.1%
2.22
 
0.1%
2.41
 
0.1%
2.51
 
0.1%
ValueCountFrequency (%)
500002
0.1%
19731.41
0.1%
15227.61
0.1%
12917.41
0.1%
7762.41
0.1%

hemoglobin
Real number (ℝ≥0)

MISSING

Distinct87
Distinct (%)27.6%
Missing1521
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean123.6155556
Minimum10.9
Maximum171
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:05.007098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10.9
5-th percentile91
Q1114
median125
Q3137
95-th percentile153.3
Maximum171
Range160.1
Interquartile range (IQR)23

Descriptive statistics

Standard deviation23.60005086
Coefficient of variation (CV)0.1909148954
Kurtosis7.433598637
Mean123.6155556
Median Absolute Deviation (MAD)12
Skewness-1.940240525
Sum38938.9
Variance556.9624006
MonotocityNot monotonic
2021-04-05T18:34:05.079581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12210
 
0.5%
13310
 
0.5%
1329
 
0.5%
1239
 
0.5%
1199
 
0.5%
1248
 
0.4%
1408
 
0.4%
1218
 
0.4%
1358
 
0.4%
1438
 
0.4%
Other values (77)228
 
12.4%
(Missing)1521
82.8%
ValueCountFrequency (%)
10.91
0.1%
11.61
0.1%
13.61
0.1%
14.41
0.1%
14.91
0.1%
ValueCountFrequency (%)
1711
0.1%
1701
0.1%
1681
0.1%
1651
0.1%
1641
0.1%

serum_chloride
Real number (ℝ≥0)

MISSING

Distinct171
Distinct (%)57.6%
Missing1539
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean103.1343434
Minimum76
Maximum134.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:05.324978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile92.86
Q198.9
median102.3
Q3105.6
95-th percentile118.5
Maximum134.6
Range58.6
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation7.877150006
Coefficient of variation (CV)0.07637756487
Kurtosis2.643049536
Mean103.1343434
Median Absolute Deviation (MAD)3.3
Skewness0.9324299394
Sum30630.9
Variance62.04949222
MonotocityNot monotonic
2021-04-05T18:34:05.397763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.96
 
0.3%
100.65
 
0.3%
101.85
 
0.3%
1044
 
0.2%
95.74
 
0.2%
98.24
 
0.2%
99.14
 
0.2%
103.94
 
0.2%
103.74
 
0.2%
100.54
 
0.2%
Other values (161)253
 
13.8%
(Missing)1539
83.8%
ValueCountFrequency (%)
761
0.1%
831
0.1%
83.91
0.1%
85.61
0.1%
881
0.1%
ValueCountFrequency (%)
134.61
0.1%
131.71
0.1%
131.51
0.1%
128.21
0.1%
126.41
0.1%

prothrombin_time
Real number (ℝ≥0)

MISSING

Distinct74
Distinct (%)39.2%
Missing1647
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean16.15238095
Minimum11.5
Maximum120
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:05.475369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11.5
5-th percentile12.7
Q113.5
median14.5
Q316.3
95-th percentile21.9
Maximum120
Range108.5
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation8.558979181
Coefficient of variation (CV)0.5298896309
Kurtosis117.0430153
Mean16.15238095
Median Absolute Deviation (MAD)1.2
Skewness9.963534659
Sum3052.8
Variance73.25612462
MonotocityNot monotonic
2021-04-05T18:34:05.552323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1410
 
0.5%
13.58
 
0.4%
13.67
 
0.4%
15.17
 
0.4%
12.96
 
0.3%
13.26
 
0.3%
13.86
 
0.3%
16.36
 
0.3%
13.35
 
0.3%
13.45
 
0.3%
Other values (64)123
 
6.7%
(Missing)1647
89.7%
ValueCountFrequency (%)
11.51
0.1%
11.61
0.1%
12.12
0.1%
12.41
0.1%
12.52
0.1%
ValueCountFrequency (%)
1201
0.1%
451
0.1%
37.21
0.1%
34.41
0.1%
28.31
0.1%

procalcitonin
Real number (ℝ≥0)

MISSING

Distinct54
Distinct (%)40.9%
Missing1704
Missing (%)92.8%
Infinite0
Infinite (%)0.0%
Mean1.15469697
Minimum0.02
Maximum42.71
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:05.628906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.02
Q10.04
median0.1
Q30.375
95-th percentile2.402
Maximum42.71
Range42.69
Interquartile range (IQR)0.335

Descriptive statistics

Standard deviation5.293136192
Coefficient of variation (CV)4.584004575
Kurtosis48.90308551
Mean1.15469697
Median Absolute Deviation (MAD)0.07
Skewness6.854716109
Sum152.42
Variance28.01729075
MonotocityNot monotonic
2021-04-05T18:34:05.700935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0216
 
0.9%
0.0311
 
0.6%
0.0411
 
0.6%
0.097
 
0.4%
0.067
 
0.4%
0.116
 
0.3%
0.076
 
0.3%
0.15
 
0.3%
0.134
 
0.2%
0.054
 
0.2%
Other values (44)55
 
3.0%
(Missing)1704
92.8%
ValueCountFrequency (%)
0.0216
0.9%
0.0311
0.6%
0.0411
0.6%
0.054
 
0.2%
0.067
0.4%
ValueCountFrequency (%)
42.711
0.1%
38.921
0.1%
18.171
0.1%
8.321
0.1%
8.21
0.1%

eosinophils(%)
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)13.3%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean0.6650485437
Minimum0
Maximum7.1
Zeros145
Zeros (%)7.9%
Memory size14.5 KiB
2021-04-05T18:34:05.770979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.9
95-th percentile3
Maximum7.1
Range7.1
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation1.179096237
Coefficient of variation (CV)1.772947626
Kurtosis7.785489583
Mean0.6650485437
Median Absolute Deviation (MAD)0.1
Skewness2.607546492
Sum205.5
Variance1.390267936
MonotocityNot monotonic
2021-04-05T18:34:05.842868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0145
 
7.9%
0.125
 
1.4%
0.217
 
0.9%
0.313
 
0.7%
0.79
 
0.5%
0.58
 
0.4%
0.97
 
0.4%
1.26
 
0.3%
1.36
 
0.3%
0.86
 
0.3%
Other values (31)67
 
3.6%
(Missing)1527
83.2%
ValueCountFrequency (%)
0145
7.9%
0.125
 
1.4%
0.217
 
0.9%
0.313
 
0.7%
0.46
 
0.3%
ValueCountFrequency (%)
7.11
0.1%
6.41
0.1%
5.81
0.1%
5.71
0.1%
5.41
0.1%

interleukin_2_receptor
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)98.6%
Missing1763
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean814.890411
Minimum80
Maximum5358
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:05.918317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile234
Q1456
median643
Q3952
95-th percentile1776
Maximum5358
Range5278
Interquartile range (IQR)496

Descriptive statistics

Standard deviation706.6456475
Coefficient of variation (CV)0.8671664779
Kurtosis23.65458905
Mean814.890411
Median Absolute Deviation (MAD)241
Skewness4.103315544
Sum59487
Variance499348.0712
MonotocityNot monotonic
2021-04-05T18:34:05.995384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8922
 
0.1%
8631
 
0.1%
5181
 
0.1%
12701
 
0.1%
18451
 
0.1%
1291
 
0.1%
3931
 
0.1%
2251
 
0.1%
8701
 
0.1%
8281
 
0.1%
Other values (62)62
 
3.4%
(Missing)1763
96.0%
ValueCountFrequency (%)
801
0.1%
1291
0.1%
2211
0.1%
2251
0.1%
2401
0.1%
ValueCountFrequency (%)
53581
0.1%
26131
0.1%
19311
0.1%
18451
0.1%
17301
0.1%

alkaline_phosphatase
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)39.1%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean81.85053381
Minimum33
Maximum259
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:06.071318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile43
Q156
median70
Q394
95-th percentile172
Maximum259
Range226
Interquartile range (IQR)38

Descriptive statistics

Standard deviation39.65231584
Coefficient of variation (CV)0.4844478587
Kurtosis3.403802608
Mean81.85053381
Median Absolute Deviation (MAD)16
Skewness1.761079593
Sum23000
Variance1572.306151
MonotocityNot monotonic
2021-04-05T18:34:06.142492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5911
 
0.6%
689
 
0.5%
639
 
0.5%
498
 
0.4%
548
 
0.4%
617
 
0.4%
757
 
0.4%
736
 
0.3%
476
 
0.3%
556
 
0.3%
Other values (100)204
 
11.1%
(Missing)1555
84.7%
ValueCountFrequency (%)
331
 
0.1%
341
 
0.1%
361
 
0.1%
371
 
0.1%
394
0.2%
ValueCountFrequency (%)
2591
0.1%
2511
0.1%
2321
0.1%
2161
0.1%
2071
0.1%

albumin
Real number (ℝ≥0)

MISSING

Distinct156
Distinct (%)55.1%
Missing1553
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean32.17067138
Minimum16.4
Maximum48.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:06.214701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16.4
5-th percentile21.7
Q128.2
median32.4
Q336.45
95-th percentile40.59
Maximum48.6
Range32.2
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation6.019055607
Coefficient of variation (CV)0.1870976063
Kurtosis-0.1389957121
Mean32.17067138
Median Absolute Deviation (MAD)4.1
Skewness-0.1786501389
Sum9104.3
Variance36.2290304
MonotocityNot monotonic
2021-04-05T18:34:06.289854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.86
 
0.3%
31.35
 
0.3%
33.35
 
0.3%
38.64
 
0.2%
22.24
 
0.2%
35.64
 
0.2%
32.24
 
0.2%
35.84
 
0.2%
34.24
 
0.2%
34.64
 
0.2%
Other values (146)239
 
13.0%
(Missing)1553
84.6%
ValueCountFrequency (%)
16.41
0.1%
16.71
0.1%
16.91
0.1%
17.21
0.1%
18.51
0.1%
ValueCountFrequency (%)
48.61
0.1%
47.61
0.1%
461
0.1%
45.51
0.1%
44.51
0.1%

basophil(%)
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)3.9%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean0.1948220065
Minimum0
Maximum1.1
Zeros69
Zeros (%)3.8%
Memory size14.5 KiB
2021-04-05T18:34:06.357412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.1
Q30.3
95-th percentile0.6
Maximum1.1
Range1.1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1992821143
Coefficient of variation (CV)1.022893244
Kurtosis3.539056195
Mean0.1948220065
Median Absolute Deviation (MAD)0.1
Skewness1.729323694
Sum60.2
Variance0.03971336107
MonotocityNot monotonic
2021-04-05T18:34:06.407641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.189
 
4.8%
0.271
 
3.9%
069
 
3.8%
0.330
 
1.6%
0.419
 
1.0%
0.513
 
0.7%
0.85
 
0.3%
0.64
 
0.2%
0.74
 
0.2%
0.93
 
0.2%
Other values (2)2
 
0.1%
(Missing)1527
83.2%
ValueCountFrequency (%)
069
3.8%
0.189
4.8%
0.271
3.9%
0.330
 
1.6%
0.419
 
1.0%
ValueCountFrequency (%)
1.11
 
0.1%
11
 
0.1%
0.93
0.2%
0.85
0.3%
0.74
0.2%

interleukin_10
Real number (ℝ≥0)

MISSING

Distinct36
Distinct (%)49.3%
Missing1763
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean17.02739726
Minimum5
Maximum500
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:06.465572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q313.2
95-th percentile30.4
Maximum500
Range495
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation58.52061427
Coefficient of variation (CV)3.436850235
Kurtosis66.95163276
Mean17.02739726
Median Absolute Deviation (MAD)0
Skewness8.054285128
Sum1243
Variance3424.662295
MonotocityNot monotonic
2021-04-05T18:34:06.534685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
537
 
2.0%
62
 
0.1%
35.91
 
0.1%
17.41
 
0.1%
8.11
 
0.1%
14.41
 
0.1%
9.11
 
0.1%
14.91
 
0.1%
29.21
 
0.1%
32.21
 
0.1%
Other values (26)26
 
1.4%
(Missing)1763
96.0%
ValueCountFrequency (%)
537
2.0%
5.21
 
0.1%
5.61
 
0.1%
5.81
 
0.1%
62
 
0.1%
ValueCountFrequency (%)
5001
0.1%
93.31
0.1%
35.91
0.1%
32.21
0.1%
29.21
0.1%

total_bilirubin
Real number (ℝ≥0)

MISSING

Distinct163
Distinct (%)58.0%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean15.86690391
Minimum2.5
Maximum295.4
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:06.609315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile4.6
Q18
median11.2
Q317.2
95-th percentile36.8
Maximum295.4
Range292.9
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation20.76683501
Coefficient of variation (CV)1.308814569
Kurtosis119.6158203
Mean15.86690391
Median Absolute Deviation (MAD)4
Skewness9.472091089
Sum4458.6
Variance431.2614365
MonotocityNot monotonic
2021-04-05T18:34:06.682671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.46
 
0.3%
5.95
 
0.3%
125
 
0.3%
10.85
 
0.3%
8.74
 
0.2%
8.54
 
0.2%
8.64
 
0.2%
9.64
 
0.2%
5.14
 
0.2%
8.94
 
0.2%
Other values (153)236
 
12.9%
(Missing)1555
84.7%
ValueCountFrequency (%)
2.52
0.1%
2.83
0.2%
3.81
 
0.1%
42
0.1%
4.12
0.1%
ValueCountFrequency (%)
295.41
0.1%
1181
0.1%
81.11
0.1%
70.51
0.1%
601
0.1%

platelet_count
Real number (ℝ)

MISSING

Distinct210
Distinct (%)68.0%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean186.381877
Minimum-1
Maximum554
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:06.755576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile26
Q1114
median185
Q3251
95-th percentile358.4
Maximum554
Range555
Interquartile range (IQR)137

Descriptive statistics

Standard deviation99.85803134
Coefficient of variation (CV)0.5357711433
Kurtosis0.1871641543
Mean186.381877
Median Absolute Deviation (MAD)67
Skewness0.3673978069
Sum57592
Variance9971.626424
MonotocityNot monotonic
2021-04-05T18:34:06.826031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1686
 
0.3%
2874
 
0.2%
2604
 
0.2%
1614
 
0.2%
1593
 
0.2%
1603
 
0.2%
1973
 
0.2%
203
 
0.2%
1873
 
0.2%
2163
 
0.2%
Other values (200)273
 
14.9%
(Missing)1527
83.2%
ValueCountFrequency (%)
-12
0.1%
61
0.1%
101
0.1%
121
0.1%
132
0.1%
ValueCountFrequency (%)
5541
0.1%
5141
0.1%
4641
0.1%
4181
0.1%
4051
0.1%

monocytes(%)
Real number (ℝ≥0)

MISSING

Distinct120
Distinct (%)38.8%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean6.124919094
Minimum0.3
Maximum20.4
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:06.902189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile1.2
Q12.8
median5.6
Q38.8
95-th percentile13.46
Maximum20.4
Range20.1
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.87533749
Coefficient of variation (CV)0.6327165192
Kurtosis0.3456965338
Mean6.124919094
Median Absolute Deviation (MAD)2.9
Skewness0.7742711613
Sum1892.6
Variance15.01824066
MonotocityNot monotonic
2021-04-05T18:34:06.978716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.88
 
0.4%
2.67
 
0.4%
6.37
 
0.4%
2.57
 
0.4%
7.66
 
0.3%
26
 
0.3%
8.35
 
0.3%
2.85
 
0.3%
7.15
 
0.3%
5.35
 
0.3%
Other values (110)248
 
13.5%
(Missing)1527
83.2%
ValueCountFrequency (%)
0.31
 
0.1%
0.61
 
0.1%
0.72
0.1%
0.84
0.2%
0.92
0.1%
ValueCountFrequency (%)
20.41
0.1%
19.41
0.1%
19.31
0.1%
152
0.1%
14.91
0.1%

antithrombin
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)57.6%
Missing1744
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean84.19565217
Minimum33
Maximum122
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:07.059866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile52.55
Q173
median86
Q394
95-th percentile110.45
Maximum122
Range89
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.61071048
Coefficient of variation (CV)0.2091641317
Kurtosis0.3777348811
Mean84.19565217
Median Absolute Deviation (MAD)10.5
Skewness-0.3598793126
Sum7746
Variance310.1371237
MonotocityNot monotonic
2021-04-05T18:34:07.134501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
916
 
0.3%
945
 
0.3%
684
 
0.2%
884
 
0.2%
864
 
0.2%
953
 
0.2%
1083
 
0.2%
793
 
0.2%
843
 
0.2%
833
 
0.2%
Other values (43)54
 
2.9%
(Missing)1744
95.0%
ValueCountFrequency (%)
331
0.1%
411
0.1%
421
0.1%
491
0.1%
521
0.1%
ValueCountFrequency (%)
1221
0.1%
1211
0.1%
1181
0.1%
1112
0.1%
1102
0.1%

interleukin_8
Real number (ℝ≥0)

MISSING

Distinct61
Distinct (%)83.6%
Missing1763
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean110.6109589
Minimum5
Maximum6003
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:07.399939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q18.6
median14.4
Q338
95-th percentile105.6
Maximum6003
Range5998
Interquartile range (IQR)29.4

Descriptive statistics

Standard deviation700.273868
Coefficient of variation (CV)6.330962817
Kurtosis72.54745146
Mean110.6109589
Median Absolute Deviation (MAD)9.4
Skewness8.505454008
Sum8074.6
Variance490383.4902
MonotocityNot monotonic
2021-04-05T18:34:07.476366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59
 
0.5%
1042
 
0.1%
12.82
 
0.1%
13.62
 
0.1%
38.62
 
0.1%
9.91
 
0.1%
12.31
 
0.1%
48.91
 
0.1%
8.61
 
0.1%
29.61
 
0.1%
Other values (51)51
 
2.8%
(Missing)1763
96.0%
ValueCountFrequency (%)
59
0.5%
5.61
 
0.1%
5.91
 
0.1%
6.41
 
0.1%
6.91
 
0.1%
ValueCountFrequency (%)
60031
0.1%
2701
0.1%
1091
0.1%
1081
0.1%
1042
0.1%

indirect_bilirubin
Real number (ℝ≥0)

MISSING

Distinct114
Distinct (%)41.5%
Missing1561
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean7.310545455
Minimum0.1
Maximum52.5
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:07.555318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.27
Q14.2
median6
Q38.7
95-th percentile15.53
Maximum52.5
Range52.4
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.881723337
Coefficient of variation (CV)0.8045532817
Kurtosis23.34129574
Mean7.310545455
Median Absolute Deviation (MAD)2.2
Skewness3.880969679
Sum2010.4
Variance34.59466941
MonotocityNot monotonic
2021-04-05T18:34:07.632060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.98
 
0.4%
58
 
0.4%
7.27
 
0.4%
4.26
 
0.3%
2.86
 
0.3%
4.36
 
0.3%
5.76
 
0.3%
8.26
 
0.3%
2.46
 
0.3%
8.85
 
0.3%
Other values (104)211
 
11.5%
(Missing)1561
85.0%
ValueCountFrequency (%)
0.11
0.1%
11
0.1%
1.11
0.1%
1.21
0.1%
1.52
0.1%
ValueCountFrequency (%)
52.51
0.1%
50.21
0.1%
31.21
0.1%
27.31
0.1%
24.31
0.1%

red_blood_cell_distribution_width_
Real number (ℝ≥0)

MISSING

Distinct61
Distinct (%)20.7%
Missing1541
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean13.02542373
Minimum10.7
Maximum20.4
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:07.705678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10.7
5-th percentile11.47
Q112
median12.7
Q313.7
95-th percentile15.93
Maximum20.4
Range9.7
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.442408372
Coefficient of variation (CV)0.1107379232
Kurtosis3.103575739
Mean13.02542373
Median Absolute Deviation (MAD)0.8
Skewness1.489857509
Sum3842.5
Variance2.080541912
MonotocityNot monotonic
2021-04-05T18:34:07.781839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.923
 
1.3%
1219
 
1.0%
12.313
 
0.7%
12.112
 
0.7%
11.811
 
0.6%
13.211
 
0.6%
12.911
 
0.6%
13.310
 
0.5%
12.49
 
0.5%
12.69
 
0.5%
Other values (51)167
 
9.1%
(Missing)1541
83.9%
ValueCountFrequency (%)
10.71
0.1%
10.92
0.1%
112
0.1%
11.11
0.1%
11.21
0.1%
ValueCountFrequency (%)
20.41
0.1%
18.61
0.1%
18.21
0.1%
17.22
0.1%
16.91
0.1%

neutrophils(%)
Real number (ℝ≥0)

MISSING

Distinct227
Distinct (%)73.5%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean77.37572816
Minimum29
Maximum98.2
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:07.856906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile47.96
Q164.5
median82.9
Q392.8
95-th percentile96.06
Maximum98.2
Range69.2
Interquartile range (IQR)28.3

Descriptive statistics

Standard deviation16.86675705
Coefficient of variation (CV)0.2179851156
Kurtosis-0.8431198197
Mean77.37572816
Median Absolute Deviation (MAD)11.6
Skewness-0.6075506035
Sum23909.1
Variance284.4874934
MonotocityNot monotonic
2021-04-05T18:34:07.930483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.45
 
0.3%
95.75
 
0.3%
93.84
 
0.2%
93.94
 
0.2%
89.64
 
0.2%
94.24
 
0.2%
84.33
 
0.2%
963
 
0.2%
93.73
 
0.2%
92.63
 
0.2%
Other values (217)271
 
14.8%
(Missing)1527
83.2%
ValueCountFrequency (%)
291
0.1%
37.71
0.1%
39.31
0.1%
40.11
0.1%
40.51
0.1%
ValueCountFrequency (%)
98.21
0.1%
98.11
0.1%
982
0.1%
97.52
0.1%
97.32
0.1%

total_protein
Real number (ℝ≥0)

MISSING

Distinct159
Distinct (%)56.4%
Missing1554
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean65.61560284
Minimum31.8
Maximum83.3
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.006544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31.8
5-th percentile51.91
Q161.425
median66.1
Q370.45
95-th percentile77.19
Maximum83.3
Range51.5
Interquartile range (IQR)9.025

Descriptive statistics

Standard deviation7.510896319
Coefficient of variation (CV)0.1144681447
Kurtosis1.834626132
Mean65.61560284
Median Absolute Deviation (MAD)4.5
Skewness-0.7222153637
Sum18503.6
Variance56.41356351
MonotocityNot monotonic
2021-04-05T18:34:08.083997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.25
 
0.3%
65.65
 
0.3%
61.65
 
0.3%
68.35
 
0.3%
70.34
 
0.2%
67.94
 
0.2%
71.44
 
0.2%
63.84
 
0.2%
70.54
 
0.2%
68.64
 
0.2%
Other values (149)238
 
13.0%
(Missing)1554
84.6%
ValueCountFrequency (%)
31.81
0.1%
371
0.1%
42.41
0.1%
46.32
0.1%
48.11
0.1%
ValueCountFrequency (%)
83.31
0.1%
82.51
0.1%
82.31
0.1%
81.11
0.1%
80.21
0.1%
Distinct15
Distinct (%)16.1%
Missing1743
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean0.07344086022
Minimum0.02
Maximum1.32
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.145742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.03
Q10.04
median0.05
Q30.07
95-th percentile0.124
Maximum1.32
Range1.3
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.1344109098
Coefficient of variation (CV)1.830192475
Kurtosis82.74906609
Mean0.07344086022
Median Absolute Deviation (MAD)0.01
Skewness8.867385684
Sum6.83
Variance0.01806629266
MonotocityNot monotonic
2021-04-05T18:34:08.207888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0420
 
1.1%
0.0517
 
0.9%
0.0612
 
0.7%
0.0711
 
0.6%
0.0310
 
0.5%
0.095
 
0.3%
0.024
 
0.2%
0.084
 
0.2%
0.113
 
0.2%
0.122
 
0.1%
Other values (5)5
 
0.3%
(Missing)1743
94.9%
ValueCountFrequency (%)
0.024
 
0.2%
0.0310
0.5%
0.0420
1.1%
0.0517
0.9%
0.0612
0.7%
ValueCountFrequency (%)
1.321
0.1%
0.191
0.1%
0.181
0.1%
0.151
0.1%
0.131
0.1%

prothrombin_activity
Real number (ℝ≥0)

MISSING

Distinct74
Distinct (%)39.4%
Missing1648
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean80.7287234
Minimum16
Maximum142
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.274689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile42.05
Q167
median84
Q395
95-th percentile109.65
Maximum142
Range126
Interquartile range (IQR)28

Descriptive statistics

Standard deviation21.48487403
Coefficient of variation (CV)0.2661366751
Kurtosis0.3763041214
Mean80.7287234
Median Absolute Deviation (MAD)14
Skewness-0.3533881492
Sum15177
Variance461.5998123
MonotocityNot monotonic
2021-04-05T18:34:08.353514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
936
 
0.3%
686
 
0.3%
786
 
0.3%
926
 
0.3%
845
 
0.3%
875
 
0.3%
905
 
0.3%
895
 
0.3%
945
 
0.3%
964
 
0.2%
Other values (64)135
 
7.4%
(Missing)1648
89.8%
ValueCountFrequency (%)
161
0.1%
201
0.1%
231
0.1%
291
0.1%
311
0.1%
ValueCountFrequency (%)
1421
0.1%
1371
0.1%
1251
0.1%
1231
0.1%
1161
0.1%

hbsag
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)8.6%
Missing1743
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean3.10344086
Minimum0
Maximum250
Zeros45
Zeros (%)2.5%
Memory size14.5 KiB
2021-04-05T18:34:08.415791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.01
95-th percentile0.03
Maximum250
Range250
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation26.07636284
Coefficient of variation (CV)8.402403659
Kurtosis90.15568025
Mean3.10344086
Median Absolute Deviation (MAD)0.01
Skewness9.439915785
Sum288.62
Variance679.9766989
MonotocityNot monotonic
2021-04-05T18:34:08.466742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
045
 
2.5%
0.0136
 
2.0%
0.024
 
0.2%
0.034
 
0.2%
30.41
 
0.1%
2501
 
0.1%
3.651
 
0.1%
4.011
 
0.1%
(Missing)1743
94.9%
ValueCountFrequency (%)
045
2.5%
0.0136
2.0%
0.024
 
0.2%
0.034
 
0.2%
3.651
 
0.1%
ValueCountFrequency (%)
2501
 
0.1%
30.41
 
0.1%
4.011
 
0.1%
3.651
 
0.1%
0.034
0.2%

mean_corpuscular_volume
Real number (ℝ≥0)

MISSING

Distinct165
Distinct (%)53.4%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean90.3381877
Minimum61.6
Maximum118.9
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.528784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum61.6
5-th percentile81.78
Q187.2
median90.2
Q394
95-th percentile99.18
Maximum118.9
Range57.3
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation6.513659321
Coefficient of variation (CV)0.07210305504
Kurtosis4.191487658
Mean90.3381877
Median Absolute Deviation (MAD)3.4
Skewness-0.5063268539
Sum27914.5
Variance42.42775774
MonotocityNot monotonic
2021-04-05T18:34:08.600563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.47
 
0.4%
91.36
 
0.3%
91.26
 
0.3%
90.26
 
0.3%
90.75
 
0.3%
88.15
 
0.3%
89.95
 
0.3%
88.55
 
0.3%
88.94
 
0.2%
90.64
 
0.2%
Other values (155)256
 
13.9%
(Missing)1527
83.2%
ValueCountFrequency (%)
61.61
0.1%
62.31
0.1%
63.51
0.1%
66.91
0.1%
70.11
0.1%
ValueCountFrequency (%)
118.91
0.1%
107.62
0.1%
106.61
0.1%
106.11
0.1%
1041
0.1%

hematocrit
Real number (ℝ≥0)

MISSING

Distinct149
Distinct (%)48.2%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean36.56796117
Minimum15.7
Maximum51.7
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.676437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15.7
5-th percentile28.1
Q133.7
median36.4
Q340
95-th percentile44.96
Maximum51.7
Range36
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation5.268798384
Coefficient of variation (CV)0.1440823665
Kurtosis1.137822871
Mean36.56796117
Median Absolute Deviation (MAD)3
Skewness-0.2504659128
Sum11299.5
Variance27.76023641
MonotocityNot monotonic
2021-04-05T18:34:08.748072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.17
 
0.4%
35.16
 
0.3%
35.36
 
0.3%
37.85
 
0.3%
37.15
 
0.3%
38.15
 
0.3%
41.95
 
0.3%
385
 
0.3%
34.84
 
0.2%
37.64
 
0.2%
Other values (139)257
 
14.0%
(Missing)1527
83.2%
ValueCountFrequency (%)
15.71
0.1%
19.91
0.1%
20.71
0.1%
22.61
0.1%
231
0.1%
ValueCountFrequency (%)
51.71
0.1%
49.81
0.1%
49.61
0.1%
49.51
0.1%
49.41
0.1%

white_blood_cell_count
Real number (ℝ≥0)

MISSING

Distinct333
Distinct (%)92.8%
Missing1477
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean17.03640669
Minimum0.35
Maximum1726.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.822961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.35
5-th percentile2.645
Q14.705
median7.59
Q313.195
95-th percentile23.088
Maximum1726.6
Range1726.25
Interquartile range (IQR)8.49

Descriptive statistics

Standard deviation100.8126282
Coefficient of variation (CV)5.917481899
Kurtosis243.9612759
Mean17.03640669
Median Absolute Deviation (MAD)3.5
Skewness15.18194552
Sum6116.07
Variance10163.186
MonotocityNot monotonic
2021-04-05T18:34:08.895876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183
 
0.2%
2.13
 
0.2%
1.53
 
0.2%
6.582
 
0.1%
6.882
 
0.1%
4.622
 
0.1%
8.952
 
0.1%
8.82
 
0.1%
10.112
 
0.1%
9.92
 
0.1%
Other values (323)336
 
18.3%
(Missing)1477
80.4%
ValueCountFrequency (%)
0.351
 
0.1%
0.71
 
0.1%
0.81
 
0.1%
1.31
 
0.1%
1.53
0.2%
ValueCountFrequency (%)
1726.61
0.1%
831.21
0.1%
139.91
0.1%
68.91
0.1%
361
0.1%

tumor_necrosis_factorα
Real number (ℝ≥0)

MISSING

Distinct58
Distinct (%)79.5%
Missing1763
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean11.67534247
Minimum4
Maximum168
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:08.972613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16.5
median8.3
Q310.8
95-th percentile20.78
Maximum168
Range164
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation19.2299519
Coefficient of variation (CV)1.647056775
Kurtosis62.83053561
Mean11.67534247
Median Absolute Deviation (MAD)2.1
Skewness7.687217185
Sum852.3
Variance369.7910502
MonotocityNot monotonic
2021-04-05T18:34:09.043841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45
 
0.3%
6.53
 
0.2%
6.73
 
0.2%
8.63
 
0.2%
7.32
 
0.1%
6.42
 
0.1%
5.72
 
0.1%
10.82
 
0.1%
8.32
 
0.1%
5.31
 
0.1%
Other values (48)48
 
2.6%
(Missing)1763
96.0%
ValueCountFrequency (%)
45
0.3%
4.91
 
0.1%
5.11
 
0.1%
5.21
 
0.1%
5.31
 
0.1%
ValueCountFrequency (%)
1681
0.1%
31.61
0.1%
28.41
0.1%
20.91
0.1%
20.71
0.1%

mean_corpuscular_hemoglobin_concentration
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)23.3%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean344.3592233
Minimum307
Maximum488
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:09.119931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum307
5-th percentile318
Q1336
median343
Q3351
95-th percentile370
Maximum488
Range181
Interquartile range (IQR)15

Descriptive statistics

Standard deviation18.6163528
Coefficient of variation (CV)0.0540608514
Kurtosis16.62985787
Mean344.3592233
Median Absolute Deviation (MAD)8
Skewness2.727038995
Sum106407
Variance346.5685916
MonotocityNot monotonic
2021-04-05T18:34:09.195915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34917
 
0.9%
33816
 
0.9%
34214
 
0.8%
34613
 
0.7%
34511
 
0.6%
33911
 
0.6%
33610
 
0.5%
33410
 
0.5%
34110
 
0.5%
34010
 
0.5%
Other values (62)187
 
10.2%
(Missing)1527
83.2%
ValueCountFrequency (%)
3071
 
0.1%
3101
 
0.1%
3111
 
0.1%
3121
 
0.1%
3143
0.2%
ValueCountFrequency (%)
4881
0.1%
4511
0.1%
4421
0.1%
4161
0.1%
3881
0.1%

fibrinogen
Real number (ℝ≥0)

MISSING

Distinct147
Distinct (%)92.5%
Missing1677
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean4.39572327
Minimum0.78
Maximum9.69
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:09.276776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.78
5-th percentile1.496
Q13.185
median4.17
Q35.315
95-th percentile7.412
Maximum9.69
Range8.91
Interquartile range (IQR)2.13

Descriptive statistics

Standard deviation1.734081838
Coefficient of variation (CV)0.3944929495
Kurtosis0.3931426839
Mean4.39572327
Median Absolute Deviation (MAD)1.02
Skewness0.454587279
Sum698.92
Variance3.007039822
MonotocityNot monotonic
2021-04-05T18:34:09.348992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.12
 
0.1%
3.582
 
0.1%
4.872
 
0.1%
6.042
 
0.1%
4.912
 
0.1%
4.72
 
0.1%
4.712
 
0.1%
3.712
 
0.1%
1.012
 
0.1%
4.932
 
0.1%
Other values (137)139
 
7.6%
(Missing)1677
91.3%
ValueCountFrequency (%)
0.781
0.1%
0.921
0.1%
1.012
0.1%
1.021
0.1%
1.191
0.1%
ValueCountFrequency (%)
9.691
0.1%
8.971
0.1%
8.911
0.1%
8.621
0.1%
8.411
0.1%

interleukin_1β
Real number (ℝ≥0)

MISSING

Distinct11
Distinct (%)15.1%
Missing1763
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean6.346575342
Minimum5
Maximum39.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:09.410345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median5
Q35
95-th percentile13.02
Maximum39.8
Range34.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.060442509
Coefficient of variation (CV)0.7973501039
Kurtosis28.85093222
Mean6.346575342
Median Absolute Deviation (MAD)0
Skewness5.072434105
Sum463.3
Variance25.60807839
MonotocityNot monotonic
2021-04-05T18:34:09.464758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
563
 
3.4%
24.31
 
0.1%
18.61
 
0.1%
10.31
 
0.1%
39.81
 
0.1%
6.61
 
0.1%
10.91
 
0.1%
16.21
 
0.1%
7.61
 
0.1%
61
 
0.1%
(Missing)1763
96.0%
ValueCountFrequency (%)
563
3.4%
61
 
0.1%
6.61
 
0.1%
7.61
 
0.1%
81
 
0.1%
ValueCountFrequency (%)
39.81
0.1%
24.31
0.1%
18.61
0.1%
16.21
0.1%
10.91
0.1%

urea
Real number (ℝ≥0)

MISSING

Distinct129
Distinct (%)45.4%
Missing1552
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean8.47193662
Minimum1.5
Maximum48.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:09.532629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2.6
Q13.885
median5.45
Q310.275
95-th percentile26.225
Maximum48.6
Range47.1
Interquartile range (IQR)6.39

Descriptive statistics

Standard deviation7.450235947
Coefficient of variation (CV)0.8794017569
Kurtosis7.095273756
Mean8.47193662
Median Absolute Deviation (MAD)2.25
Skewness2.426456733
Sum2406.03
Variance55.50601567
MonotocityNot monotonic
2021-04-05T18:34:09.608568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.37
 
0.4%
4.67
 
0.4%
4.47
 
0.4%
3.87
 
0.4%
5.26
 
0.3%
3.56
 
0.3%
3.76
 
0.3%
45
 
0.3%
4.85
 
0.3%
5.35
 
0.3%
Other values (119)223
 
12.1%
(Missing)1552
84.5%
ValueCountFrequency (%)
1.51
 
0.1%
1.72
0.1%
2.11
 
0.1%
2.31
 
0.1%
2.43
0.2%
ValueCountFrequency (%)
48.61
0.1%
44.61
0.1%
41.71
0.1%
361
0.1%
34.71
0.1%

lymphocyte_count
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)49.8%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean0.908802589
Minimum0.1
Maximum2.83
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:09.681107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.19
Q10.45
median0.81
Q31.27
95-th percentile1.932
Maximum2.83
Range2.73
Interquartile range (IQR)0.82

Descriptive statistics

Standard deviation0.5574776711
Coefficient of variation (CV)0.6134199856
Kurtosis0.2883912219
Mean0.908802589
Median Absolute Deviation (MAD)0.39
Skewness0.793862506
Sum280.82
Variance0.3107813538
MonotocityNot monotonic
2021-04-05T18:34:09.976197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.736
 
0.3%
0.445
 
0.3%
0.315
 
0.3%
0.435
 
0.3%
0.645
 
0.3%
0.595
 
0.3%
0.544
 
0.2%
0.214
 
0.2%
1.374
 
0.2%
0.744
 
0.2%
Other values (144)262
 
14.3%
(Missing)1527
83.2%
ValueCountFrequency (%)
0.11
 
0.1%
0.113
0.2%
0.121
 
0.1%
0.132
0.1%
0.141
 
0.1%
ValueCountFrequency (%)
2.831
0.1%
2.781
0.1%
2.591
0.1%
2.441
0.1%
2.421
0.1%

ph_value
Real number (ℝ≥0)

MISSING

Distinct36
Distinct (%)31.9%
Missing1723
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean6.515716814
Minimum5
Maximum7.512
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:10.046973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.5
Q16
median6.5
Q37.353
95-th percentile7.4548
Maximum7.512
Range2.512
Interquartile range (IQR)1.353

Descriptive statistics

Standard deviation0.7292055054
Coefficient of variation (CV)0.1119148554
Kurtosis-1.221677063
Mean6.515716814
Median Absolute Deviation (MAD)0.5
Skewness-0.1242489144
Sum736.276
Variance0.5317406691
MonotocityNot monotonic
2021-04-05T18:34:10.118328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
630
 
1.6%
6.519
 
1.0%
5.515
 
0.8%
711
 
0.6%
53
 
0.2%
7.3952
 
0.1%
7.4032
 
0.1%
7.4542
 
0.1%
7.4412
 
0.1%
7.3651
 
0.1%
Other values (26)26
 
1.4%
(Missing)1723
93.8%
ValueCountFrequency (%)
53
 
0.2%
5.515
0.8%
630
1.6%
6.519
1.0%
6.8971
 
0.1%
ValueCountFrequency (%)
7.5121
0.1%
7.4821
0.1%
7.4791
0.1%
7.4781
0.1%
7.461
0.1%

red_blood_cell_count
Real number (ℝ≥0)

MISSING

Distinct214
Distinct (%)59.6%
Missing1477
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean5.842284123
Minimum0.3
Maximum96
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:10.191574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile2.84
Q13.66
median4.13
Q34.615
95-th percentile8.95
Maximum96
Range95.7
Interquartile range (IQR)0.955

Descriptive statistics

Standard deviation9.431463498
Coefficient of variation (CV)1.614345229
Kurtosis45.69106237
Mean5.842284123
Median Absolute Deviation (MAD)0.48
Skewness6.426455714
Sum2097.38
Variance88.95250371
MonotocityNot monotonic
2021-04-05T18:34:10.268967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.846
 
0.3%
4.335
 
0.3%
4.515
 
0.3%
4.15
 
0.3%
4.175
 
0.3%
4.545
 
0.3%
4.674
 
0.2%
3.514
 
0.2%
3.864
 
0.2%
3.854
 
0.2%
Other values (204)312
 
17.0%
(Missing)1477
80.4%
ValueCountFrequency (%)
0.31
0.1%
0.71
0.1%
0.81
0.1%
1.11
0.1%
1.21
0.1%
ValueCountFrequency (%)
961
0.1%
80.91
0.1%
63.91
0.1%
61.31
0.1%
56.81
0.1%

eosinophil_count
Real number (ℝ≥0)

MISSING
ZEROS

Distinct28
Distinct (%)9.1%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean0.03857605178
Minimum0
Maximum0.49
Zeros143
Zeros (%)7.8%
Memory size14.5 KiB
2021-04-05T18:34:10.337120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.05
95-th percentile0.176
Maximum0.49
Range0.49
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.06393415502
Coefficient of variation (CV)1.657353515
Kurtosis9.767529962
Mean0.03857605178
Median Absolute Deviation (MAD)0.01
Skewness2.600099128
Sum11.92
Variance0.004087576178
MonotocityNot monotonic
2021-04-05T18:34:10.404378image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0143
 
7.8%
0.0141
 
2.2%
0.0316
 
0.9%
0.0213
 
0.7%
0.0510
 
0.5%
0.069
 
0.5%
0.049
 
0.5%
0.099
 
0.5%
0.078
 
0.4%
0.157
 
0.4%
Other values (18)44
 
2.4%
(Missing)1527
83.2%
ValueCountFrequency (%)
0143
7.8%
0.0141
 
2.2%
0.0213
 
0.7%
0.0316
 
0.9%
0.049
 
0.5%
ValueCountFrequency (%)
0.491
0.1%
0.311
0.1%
0.291
0.1%
0.241
0.1%
0.231
0.1%

corrected_calcium
Real number (ℝ≥0)

MISSING

Distinct63
Distinct (%)22.7%
Missing1559
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean2.349819495
Minimum1.91
Maximum2.79
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:10.477374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.91
5-th percentile2.13
Q12.26
median2.36
Q32.43
95-th percentile2.55
Maximum2.79
Range0.88
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.1335861413
Coefficient of variation (CV)0.05684953318
Kurtosis0.6943159812
Mean2.349819495
Median Absolute Deviation (MAD)0.09
Skewness-0.08795448119
Sum650.9
Variance0.01784525715
MonotocityNot monotonic
2021-04-05T18:34:10.548854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3613
 
0.7%
2.3813
 
0.7%
2.4612
 
0.7%
2.3312
 
0.7%
2.4311
 
0.6%
2.3411
 
0.6%
2.3210
 
0.5%
2.410
 
0.5%
2.4110
 
0.5%
2.497
 
0.4%
Other values (53)168
 
9.2%
(Missing)1559
84.9%
ValueCountFrequency (%)
1.911
0.1%
1.951
0.1%
1.981
0.1%
2.061
0.1%
2.071
0.1%
ValueCountFrequency (%)
2.791
0.1%
2.771
0.1%
2.741
0.1%
2.651
0.1%
2.631
0.1%

serum_potassium
Real number (ℝ≥0)

MISSING

Distinct184
Distinct (%)61.3%
Missing1536
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean4.511833333
Minimum2.79
Maximum12.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:10.623019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.79
5-th percentile3.379
Q13.92
median4.37
Q34.86
95-th percentile5.9905
Maximum12.8
Range10.01
Interquartile range (IQR)0.94

Descriptive statistics

Standard deviation0.9327251612
Coefficient of variation (CV)0.2067286383
Kurtosis20.25446985
Mean4.511833333
Median Absolute Deviation (MAD)0.47
Skewness2.791927012
Sum1353.55
Variance0.8699762263
MonotocityNot monotonic
2021-04-05T18:34:10.697424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.645
 
0.3%
4.094
 
0.2%
4.364
 
0.2%
4.314
 
0.2%
3.764
 
0.2%
4.054
 
0.2%
3.944
 
0.2%
4.844
 
0.2%
4.64
 
0.2%
4.234
 
0.2%
Other values (174)259
 
14.1%
(Missing)1536
83.7%
ValueCountFrequency (%)
2.791
0.1%
2.871
0.1%
2.921
0.1%
2.981
0.1%
31
0.1%
ValueCountFrequency (%)
12.81
0.1%
7.221
0.1%
7.181
0.1%
7.031
0.1%
6.861
0.1%

glucose
Real number (ℝ≥0)

MISSING

Distinct205
Distinct (%)88.7%
Missing1605
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean8.70021645
Minimum1
Maximum43.01
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:10.772777image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.465
Q15.46
median6.92
Q310.21
95-th percentile19.235
Maximum43.01
Range42.01
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation5.319108984
Coefficient of variation (CV)0.6113766266
Kurtosis9.117258634
Mean8.70021645
Median Absolute Deviation (MAD)1.91
Skewness2.514200581
Sum2009.75
Variance28.29292039
MonotocityNot monotonic
2021-04-05T18:34:10.845273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.833
 
0.2%
4.683
 
0.2%
5.632
 
0.1%
4.792
 
0.1%
9.082
 
0.1%
10.792
 
0.1%
6.992
 
0.1%
7.352
 
0.1%
6.12
 
0.1%
6.122
 
0.1%
Other values (195)209
 
11.4%
(Missing)1605
87.4%
ValueCountFrequency (%)
11
0.1%
1.571
0.1%
3.971
0.1%
4.071
0.1%
4.081
0.1%
ValueCountFrequency (%)
43.011
0.1%
27.961
0.1%
27.231
0.1%
27.031
0.1%
26.281
0.1%

neutrophils_count
Real number (ℝ≥0)

MISSING

Distinct272
Distinct (%)88.0%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean7.882427184
Minimum0.2
Maximum31.52
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:10.918956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.568
Q12.91
median6.11
Q312.01
95-th percentile20.39
Maximum31.52
Range31.32
Interquartile range (IQR)9.1

Descriptive statistics

Standard deviation6.153463938
Coefficient of variation (CV)0.7806559825
Kurtosis1.137852596
Mean7.882427184
Median Absolute Deviation (MAD)3.66
Skewness1.20624978
Sum2435.67
Variance37.86511844
MonotocityNot monotonic
2021-04-05T18:34:10.990664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.833
 
0.2%
2.713
 
0.2%
4.713
 
0.2%
2.222
 
0.1%
2.122
 
0.1%
6.382
 
0.1%
1.432
 
0.1%
3.472
 
0.1%
7.452
 
0.1%
1.792
 
0.1%
Other values (262)286
 
15.6%
(Missing)1527
83.2%
ValueCountFrequency (%)
0.21
0.1%
0.511
0.1%
0.571
0.1%
0.951
0.1%
0.971
0.1%
ValueCountFrequency (%)
31.521
0.1%
28.321
0.1%
27.731
0.1%
27.481
0.1%
27.221
0.1%

direct_bilirubin
Real number (ℝ≥0)

MISSING

Distinct125
Distinct (%)44.5%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean8.641992883
Minimum1.6
Maximum242.9
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.064335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile2
Q13.5
median5
Q38.3
95-th percentile25.1
Maximum242.9
Range241.3
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation16.79632023
Coefficient of variation (CV)1.943570245
Kurtosis137.9713636
Mean8.641992883
Median Absolute Deviation (MAD)2.1
Skewness10.46234819
Sum2428.4
Variance282.1163732
MonotocityNot monotonic
2021-04-05T18:34:11.142097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.79
 
0.5%
2.19
 
0.5%
3.57
 
0.4%
3.67
 
0.4%
4.26
 
0.3%
1.66
 
0.3%
56
 
0.3%
46
 
0.3%
3.96
 
0.3%
5.35
 
0.3%
Other values (115)214
 
11.7%
(Missing)1555
84.7%
ValueCountFrequency (%)
1.66
0.3%
1.72
 
0.1%
1.81
 
0.1%
1.95
0.3%
23
0.2%
ValueCountFrequency (%)
242.91
0.1%
94.41
0.1%
52.81
0.1%
42.11
0.1%
41.71
0.1%

mean_platelet_volume
Real number (ℝ≥0)

MISSING

Distinct55
Distinct (%)19.2%
Missing1549
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean11
Minimum8.9
Maximum15
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.216077image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8.9
5-th percentile9.4
Q110.2
median10.8
Q311.6
95-th percentile13.07
Maximum15
Range6.1
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.125701025
Coefficient of variation (CV)0.1023364568
Kurtosis0.9317027512
Mean11
Median Absolute Deviation (MAD)0.7
Skewness0.8347766371
Sum3157
Variance1.267202797
MonotocityNot monotonic
2021-04-05T18:34:11.290371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.414
 
0.8%
10.813
 
0.7%
10.712
 
0.7%
10.512
 
0.7%
11.312
 
0.7%
1111
 
0.6%
11.111
 
0.6%
9.811
 
0.6%
10.211
 
0.6%
1010
 
0.5%
Other values (45)170
 
9.3%
(Missing)1549
84.4%
ValueCountFrequency (%)
8.92
0.1%
92
0.1%
9.13
0.2%
9.21
 
0.1%
9.33
0.2%
ValueCountFrequency (%)
151
0.1%
14.91
0.1%
14.71
0.1%
14.41
0.1%
141
0.1%

ferritin
Real number (ℝ≥0)

MISSING

Distinct78
Distinct (%)98.7%
Missing1757
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean1849.322785
Minimum17.8
Maximum50000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.368039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum17.8
5-th percentile62.96
Q1362.55
median711.6
Q31476.65
95-th percentile3901.78
Maximum50000
Range49982.2
Interquartile range (IQR)1114.1

Descriptive statistics

Standard deviation5887.458798
Coefficient of variation (CV)3.183575548
Kurtosis59.58788365
Mean1849.322785
Median Absolute Deviation (MAD)550.5
Skewness7.45396801
Sum146096.5
Variance34662171.1
MonotocityNot monotonic
2021-04-05T18:34:11.444333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1425.22
 
0.1%
2236.21
 
0.1%
139.31
 
0.1%
463.21
 
0.1%
17.81
 
0.1%
168.11
 
0.1%
675.61
 
0.1%
409.81
 
0.1%
1736.41
 
0.1%
1701.31
 
0.1%
Other values (68)68
 
3.7%
(Missing)1757
95.7%
ValueCountFrequency (%)
17.81
0.1%
29.81
0.1%
57.71
0.1%
61.71
0.1%
63.11
0.1%
ValueCountFrequency (%)
500001
0.1%
178481
0.1%
5544.11
0.1%
4012.31
0.1%
3889.51
0.1%

rbc_distribution_width_sd
Real number (ℝ≥0)

MISSING

Distinct143
Distinct (%)48.5%
Missing1541
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean42.23254237
Minimum32.5
Maximum69.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.518855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum32.5
5-th percentile36.14
Q138.5
median41
Q344.55
95-th percentile53.13
Maximum69.8
Range37.3
Interquartile range (IQR)6.05

Descriptive statistics

Standard deviation5.454246175
Coefficient of variation (CV)0.1291479477
Kurtosis2.745864765
Mean42.23254237
Median Absolute Deviation (MAD)2.8
Skewness1.376210796
Sum12458.6
Variance29.74880134
MonotocityNot monotonic
2021-04-05T18:34:11.592379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.37
 
0.4%
37.26
 
0.3%
39.36
 
0.3%
39.85
 
0.3%
41.35
 
0.3%
41.15
 
0.3%
39.14
 
0.2%
40.74
 
0.2%
38.54
 
0.2%
434
 
0.2%
Other values (133)245
 
13.3%
(Missing)1541
83.9%
ValueCountFrequency (%)
32.51
0.1%
32.61
0.1%
33.82
0.1%
34.41
0.1%
34.51
0.1%
ValueCountFrequency (%)
69.81
0.1%
60.91
0.1%
59.91
0.1%
58.91
0.1%
57.91
0.1%

thrombin_time
Real number (ℝ≥0)

MISSING

Distinct72
Distinct (%)45.3%
Missing1677
Missing (%)91.3%
Infinite0
Infinite (%)0.0%
Mean18.35345912
Minimum14
Maximum144.9
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.667920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14.8
Q115.75
median16.7
Q318.35
95-th percentile24.11
Maximum144.9
Range130.9
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation10.54037914
Coefficient of variation (CV)0.5742993225
Kurtosis133.5850081
Mean18.35345912
Median Absolute Deviation (MAD)1.3
Skewness11.12894716
Sum2918.2
Variance111.0995924
MonotocityNot monotonic
2021-04-05T18:34:11.747560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.37
 
0.4%
16.55
 
0.3%
15.15
 
0.3%
16.45
 
0.3%
15.95
 
0.3%
16.65
 
0.3%
185
 
0.3%
16.94
 
0.2%
164
 
0.2%
154
 
0.2%
Other values (62)110
 
6.0%
(Missing)1677
91.3%
ValueCountFrequency (%)
141
 
0.1%
14.21
 
0.1%
14.53
0.2%
14.62
0.1%
14.83
0.2%
ValueCountFrequency (%)
144.91
0.1%
32.51
0.1%
31.61
0.1%
27.61
0.1%
27.41
0.1%

(%)lymphocyte
Real number (ℝ≥0)

MISSING

Distinct206
Distinct (%)66.7%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean15.63721683
Minimum0.6
Maximum49.7
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.823282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile1.54
Q13.6
median11.7
Q325.1
95-th percentile40.6
Maximum49.7
Range49.1
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation13.26572847
Coefficient of variation (CV)0.8483433222
Kurtosis-0.7345965271
Mean15.63721683
Median Absolute Deviation (MAD)9.3
Skewness0.7030316484
Sum4831.9
Variance175.979552
MonotocityNot monotonic
2021-04-05T18:34:11.899586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.47
 
0.4%
3.35
 
0.3%
35
 
0.3%
6.24
 
0.2%
7.54
 
0.2%
2.34
 
0.2%
3.74
 
0.2%
3.54
 
0.2%
2.24
 
0.2%
24
 
0.2%
Other values (196)264
 
14.4%
(Missing)1527
83.2%
ValueCountFrequency (%)
0.61
 
0.1%
0.91
 
0.1%
12
0.1%
1.12
0.1%
1.23
0.2%
ValueCountFrequency (%)
49.71
0.1%
48.41
0.1%
47.51
0.1%
471
0.1%
45.71
0.1%

hcv_antibody_quantification
Real number (ℝ≥0)

MISSING

Distinct20
Distinct (%)21.5%
Missing1743
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean0.1268817204
Minimum0.03
Maximum2.09
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:11.965514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.03
Q10.04
median0.05
Q30.08
95-th percentile0.394
Maximum2.09
Range2.06
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.289320713
Coefficient of variation (CV)2.280239518
Kurtosis31.52292404
Mean0.1268817204
Median Absolute Deviation (MAD)0.02
Skewness5.415005764
Sum11.8
Variance0.08370647499
MonotocityNot monotonic
2021-04-05T18:34:12.022566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0518
 
1.0%
0.0418
 
1.0%
0.0311
 
0.6%
0.069
 
0.5%
0.078
 
0.4%
0.087
 
0.4%
0.14
 
0.2%
0.113
 
0.2%
0.093
 
0.2%
0.152
 
0.1%
Other values (10)10
 
0.5%
(Missing)1743
94.9%
ValueCountFrequency (%)
0.0311
0.6%
0.0418
1.0%
0.0518
1.0%
0.069
0.5%
0.078
0.4%
ValueCountFrequency (%)
2.091
0.1%
1.671
0.1%
0.861
0.1%
0.661
0.1%
0.431
0.1%

d-d_dimer
Real number (ℝ≥0)

MISSING

Distinct98
Distinct (%)54.7%
Missing1657
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean7.086089385
Minimum0.21
Maximum38.63
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:12.091062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.22
Q10.485
median1.7
Q317.775
95-th percentile21
Maximum38.63
Range38.42
Interquartile range (IQR)17.29

Descriptive statistics

Standard deviation8.925636811
Coefficient of variation (CV)1.259599805
Kurtosis-0.469287994
Mean7.086089385
Median Absolute Deviation (MAD)1.38
Skewness0.9980227522
Sum1268.41
Variance79.66699249
MonotocityNot monotonic
2021-04-05T18:34:12.168554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2143
 
2.3%
0.2211
 
0.6%
0.464
 
0.2%
0.243
 
0.2%
0.653
 
0.2%
0.393
 
0.2%
0.363
 
0.2%
1.233
 
0.2%
12.052
 
0.1%
0.52
 
0.1%
Other values (88)102
 
5.6%
(Missing)1657
90.3%
ValueCountFrequency (%)
0.211
 
0.1%
0.2211
0.6%
0.243
 
0.2%
0.252
 
0.1%
0.281
 
0.1%
ValueCountFrequency (%)
38.631
 
0.1%
2143
2.3%
17.931
 
0.1%
17.621
 
0.1%
17.581
 
0.1%

total_cholesterol
Real number (ℝ≥0)

MISSING

Distinct199
Distinct (%)70.8%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean3.752206406
Minimum0.1
Maximum7.13
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:12.246722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.19
Q13.11
median3.72
Q34.33
95-th percentile5.57
Maximum7.13
Range7.03
Interquartile range (IQR)1.22

Descriptive statistics

Standard deviation1.021511891
Coefficient of variation (CV)0.2722429899
Kurtosis1.180140958
Mean3.752206406
Median Absolute Deviation (MAD)0.61
Skewness0.1258994257
Sum1054.37
Variance1.043486543
MonotocityNot monotonic
2021-04-05T18:34:12.321055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.474
 
0.2%
3.623
 
0.2%
3.343
 
0.2%
3.393
 
0.2%
3.813
 
0.2%
4.233
 
0.2%
4.073
 
0.2%
3.893
 
0.2%
3.923
 
0.2%
4.373
 
0.2%
Other values (189)250
 
13.6%
(Missing)1555
84.7%
ValueCountFrequency (%)
0.12
0.1%
1.351
0.1%
1.611
0.1%
1.661
0.1%
1.681
0.1%
ValueCountFrequency (%)
7.131
0.1%
7.061
0.1%
6.331
0.1%
6.211
0.1%
6.111
0.1%

aspartate_aminotransferase
Real number (ℝ≥0)

MISSING

Distinct80
Distinct (%)28.4%
Missing1554
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean43.74822695
Minimum8
Maximum756
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:12.399088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q120
median27
Q342
95-th percentile119.85
Maximum756
Range748
Interquartile range (IQR)22

Descriptive statistics

Standard deviation64.89885709
Coefficient of variation (CV)1.483462568
Kurtosis65.28843302
Mean43.74822695
Median Absolute Deviation (MAD)9
Skewness7.135464583
Sum12337
Variance4211.861652
MonotocityNot monotonic
2021-04-05T18:34:12.470635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1614
 
0.8%
2414
 
0.8%
1812
 
0.7%
2112
 
0.7%
1911
 
0.6%
2010
 
0.5%
2310
 
0.5%
2210
 
0.5%
259
 
0.5%
388
 
0.4%
Other values (70)172
 
9.4%
(Missing)1554
84.6%
ValueCountFrequency (%)
81
 
0.1%
92
0.1%
103
0.2%
112
0.1%
123
0.2%
ValueCountFrequency (%)
7561
0.1%
5461
0.1%
3321
0.1%
2302
0.1%
2141
0.1%

uric_acid
Real number (ℝ≥0)

MISSING

Distinct212
Distinct (%)74.6%
Missing1552
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean264.3176056
Minimum50
Maximum987
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:12.545985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile98
Q1177.75
median230.5
Q3325.25
95-th percentile509.05
Maximum987
Range937
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation139.5439507
Coefficient of variation (CV)0.5279404312
Kurtosis5.60358091
Mean264.3176056
Median Absolute Deviation (MAD)68.5
Skewness1.85049943
Sum75066.2
Variance19472.51418
MonotocityNot monotonic
2021-04-05T18:34:12.617968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2244
 
0.2%
1894
 
0.2%
1624
 
0.2%
2254
 
0.2%
2963
 
0.2%
1943
 
0.2%
2453
 
0.2%
1993
 
0.2%
4073
 
0.2%
1343
 
0.2%
Other values (202)250
 
13.6%
(Missing)1552
84.5%
ValueCountFrequency (%)
501
0.1%
511
0.1%
521
0.1%
571
0.1%
751
0.1%
ValueCountFrequency (%)
9871
0.1%
9831
0.1%
763.61
0.1%
7431
0.1%
7011
0.1%

hco3-
Real number (ℝ≥0)

MISSING

Distinct138
Distinct (%)48.6%
Missing1552
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean23.20387324
Minimum8
Maximum35.1
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:12.688713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15.215
Q120.875
median23.6
Q326.1
95-th percentile29.67
Maximum35.1
Range27.1
Interquartile range (IQR)5.225

Descriptive statistics

Standard deviation4.337520477
Coefficient of variation (CV)0.1869308814
Kurtosis0.5849305725
Mean23.20387324
Median Absolute Deviation (MAD)2.6
Skewness-0.5571085936
Sum6589.9
Variance18.81408388
MonotocityNot monotonic
2021-04-05T18:34:12.766101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.97
 
0.4%
25.36
 
0.3%
22.66
 
0.3%
25.46
 
0.3%
23.26
 
0.3%
25.25
 
0.3%
28.45
 
0.3%
24.85
 
0.3%
22.15
 
0.3%
23.65
 
0.3%
Other values (128)228
 
12.4%
(Missing)1552
84.5%
ValueCountFrequency (%)
81
0.1%
10.11
0.1%
10.41
0.1%
11.91
0.1%
12.72
0.1%
ValueCountFrequency (%)
35.11
0.1%
32.31
0.1%
31.71
0.1%
31.31
0.1%
31.21
0.1%

calcium
Real number (ℝ≥0)

MISSING

Distinct69
Distinct (%)23.1%
Missing1537
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean2.074615385
Minimum1.3
Maximum2.62
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:13.158687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.83
Q11.98
median2.08
Q32.185
95-th percentile2.32
Maximum2.62
Range1.32
Interquartile range (IQR)0.205

Descriptive statistics

Standard deviation0.1690203789
Coefficient of variation (CV)0.08147070544
Kurtosis2.719704033
Mean2.074615385
Median Absolute Deviation (MAD)0.1
Skewness-0.5720098397
Sum620.31
Variance0.02856788849
MonotocityNot monotonic
2021-04-05T18:34:13.240975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0211
 
0.6%
2.1411
 
0.6%
2.1311
 
0.6%
2.210
 
0.5%
2.0510
 
0.5%
2.19
 
0.5%
2.119
 
0.5%
2.098
 
0.4%
1.988
 
0.4%
2.077
 
0.4%
Other values (59)205
 
11.2%
(Missing)1537
83.7%
ValueCountFrequency (%)
1.31
0.1%
1.311
0.1%
1.481
0.1%
1.671
0.1%
1.71
0.1%
ValueCountFrequency (%)
2.621
0.1%
2.61
0.1%
2.561
0.1%
2.391
0.1%
2.361
0.1%
Distinct121
Distinct (%)89.6%
Missing1701
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean4337.459259
Minimum5
Maximum70000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:13.317925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.8
Q1158
median639
Q32104
95-th percentile15161.9
Maximum70000
Range69995
Interquartile range (IQR)1946

Descriptive statistics

Standard deviation12727.71428
Coefficient of variation (CV)2.934370912
Kurtosis20.05634851
Mean4337.459259
Median Absolute Deviation (MAD)592
Skewness4.505523414
Sum585557
Variance161994710.8
MonotocityNot monotonic
2021-04-05T18:34:13.393372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94
 
0.2%
133
 
0.2%
53
 
0.2%
700003
 
0.2%
273
 
0.2%
262
 
0.1%
232
 
0.1%
12252
 
0.1%
2431
 
0.1%
7781
 
0.1%
Other values (111)111
 
6.0%
(Missing)1701
92.6%
ValueCountFrequency (%)
53
0.2%
94
0.2%
133
0.2%
141
 
0.1%
151
 
0.1%
ValueCountFrequency (%)
700003
0.2%
666991
 
0.1%
553001
 
0.1%
180011
 
0.1%
179921
 
0.1%

lactate_dehydrogenase
Real number (ℝ≥0)

MISSING

Distinct236
Distinct (%)83.7%
Missing1554
Missing (%)84.6%
Infinite0
Infinite (%)0.0%
Mean493.3156028
Minimum139
Maximum1867
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:13.469750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum139
5-th percentile171.05
Q1218.25
median349
Q3657.25
95-th percentile1338.6
Maximum1867
Range1728
Interquartile range (IQR)439

Descriptive statistics

Standard deviation382.6462408
Coefficient of variation (CV)0.7756621493
Kurtosis3.045221857
Mean493.3156028
Median Absolute Deviation (MAD)152.5
Skewness1.782175675
Sum139115
Variance146418.1456
MonotocityNot monotonic
2021-04-05T18:34:13.540250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2044
 
0.2%
18674
 
0.2%
2084
 
0.2%
2114
 
0.2%
1803
 
0.2%
1773
 
0.2%
6643
 
0.2%
1903
 
0.2%
1843
 
0.2%
3092
 
0.1%
Other values (226)249
 
13.6%
(Missing)1554
84.6%
ValueCountFrequency (%)
1392
0.1%
1401
0.1%
1421
0.1%
1501
0.1%
1521
0.1%
ValueCountFrequency (%)
18674
0.2%
18501
 
0.1%
17981
 
0.1%
17721
 
0.1%
16921
 
0.1%

platelet_large_cell_ratio_
Real number (ℝ≥0)

MISSING

Distinct186
Distinct (%)64.8%
Missing1549
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean32.49790941
Minimum15.2
Maximum62.2
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:13.614809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum15.2
5-th percentile19.83
Q126.35
median31.6
Q337.4
95-th percentile47.41
Maximum62.2
Range47
Interquartile range (IQR)11.05

Descriptive statistics

Standard deviation8.788274679
Coefficient of variation (CV)0.2704258471
Kurtosis0.6937434365
Mean32.49790941
Median Absolute Deviation (MAD)5.5
Skewness0.7335316017
Sum9326.9
Variance77.23377184
MonotocityNot monotonic
2021-04-05T18:34:13.691600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.56
 
0.3%
27.55
 
0.3%
28.55
 
0.3%
22.74
 
0.2%
234
 
0.2%
29.84
 
0.2%
24.93
 
0.2%
37.43
 
0.2%
24.33
 
0.2%
25.93
 
0.2%
Other values (176)247
 
13.5%
(Missing)1549
84.4%
ValueCountFrequency (%)
15.21
0.1%
161
0.1%
16.51
0.1%
16.62
0.1%
17.61
0.1%
ValueCountFrequency (%)
62.21
0.1%
61.51
0.1%
60.61
0.1%
59.11
0.1%
55.61
0.1%

interleukin_6
Real number (ℝ≥0)

MISSING

Distinct67
Distinct (%)91.8%
Missing1763
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean132.0926027
Minimum1.5
Maximum5000
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:13.765735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile1.5
Q13.1
median19.22
Q366.57
95-th percentile286.32
Maximum5000
Range4998.5
Interquartile range (IQR)63.47

Descriptive statistics

Standard deviation591.2063616
Coefficient of variation (CV)4.475696211
Kurtosis66.28809297
Mean132.0926027
Median Absolute Deviation (MAD)17.29
Skewness7.991969859
Sum9642.76
Variance349524.9621
MonotocityNot monotonic
2021-04-05T18:34:13.843450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.57
 
0.4%
19.531
 
0.1%
23.461
 
0.1%
70.271
 
0.1%
16.371
 
0.1%
294.61
 
0.1%
68.241
 
0.1%
19.221
 
0.1%
235.61
 
0.1%
89.091
 
0.1%
Other values (57)57
 
3.1%
(Missing)1763
96.0%
ValueCountFrequency (%)
1.57
0.4%
1.71
 
0.1%
1.911
 
0.1%
1.921
 
0.1%
1.931
 
0.1%
ValueCountFrequency (%)
50001
0.1%
798.91
0.1%
562.31
0.1%
294.61
0.1%
280.81
0.1%

fibrin_degradation_products
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)30.4%
Missing1744
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean53.98478261
Minimum4
Maximum190.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:13.912914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median7.4
Q3150
95-th percentile150
Maximum190.8
Range186.8
Interquartile range (IQR)146

Descriptive statistics

Standard deviation64.62688335
Coefficient of variation (CV)1.197131492
Kurtosis-1.228623628
Mean53.98478261
Median Absolute Deviation (MAD)3.4
Skewness0.7791635711
Sum4966.6
Variance4176.634052
MonotocityNot monotonic
2021-04-05T18:34:13.976973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
439
 
2.1%
15025
 
1.4%
7.43
 
0.2%
47.21
 
0.1%
19.51
 
0.1%
51.41
 
0.1%
82.71
 
0.1%
23.91
 
0.1%
15.81
 
0.1%
37.61
 
0.1%
Other values (18)18
 
1.0%
(Missing)1744
95.0%
ValueCountFrequency (%)
439
2.1%
4.11
 
0.1%
4.41
 
0.1%
5.81
 
0.1%
6.11
 
0.1%
ValueCountFrequency (%)
190.81
 
0.1%
15025
1.4%
104.91
 
0.1%
82.71
 
0.1%
78.71
 
0.1%

monocytes_count
Real number (ℝ≥0)

MISSING

Distinct94
Distinct (%)30.4%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean0.4431391586
Minimum0.03
Maximum2
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:14.052325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.11
Q10.26
median0.4
Q30.58
95-th percentile0.932
Maximum2
Range1.97
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2667727705
Coefficient of variation (CV)0.6020067632
Kurtosis4.013667429
Mean0.4431391586
Median Absolute Deviation (MAD)0.15
Skewness1.442083508
Sum136.93
Variance0.07116771109
MonotocityNot monotonic
2021-04-05T18:34:14.132340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3213
 
0.7%
0.3710
 
0.5%
0.49
 
0.5%
0.349
 
0.5%
0.29
 
0.5%
0.438
 
0.4%
0.368
 
0.4%
0.087
 
0.4%
0.167
 
0.4%
0.217
 
0.4%
Other values (84)222
 
12.1%
(Missing)1527
83.2%
ValueCountFrequency (%)
0.031
 
0.1%
0.043
0.2%
0.051
 
0.1%
0.061
 
0.1%
0.087
0.4%
ValueCountFrequency (%)
21
0.1%
1.391
0.1%
1.241
0.1%
1.231
0.1%
1.221
0.1%

plt_distribution_width
Real number (ℝ≥0)

MISSING

Distinct92
Distinct (%)32.1%
Missing1549
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean13.23972125
Minimum8.9
Maximum25.3
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:14.216619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum8.9
5-th percentile9.7
Q111.3
median12.5
Q314.5
95-th percentile18.95
Maximum25.3
Range16.4
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.950741982
Coefficient of variation (CV)0.2228704008
Kurtosis3.161361792
Mean13.23972125
Median Absolute Deviation (MAD)1.5
Skewness1.545337023
Sum3799.8
Variance8.706878244
MonotocityNot monotonic
2021-04-05T18:34:14.288820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.79
 
0.5%
12.88
 
0.4%
12.38
 
0.4%
11.38
 
0.4%
12.28
 
0.4%
128
 
0.4%
14.97
 
0.4%
11.67
 
0.4%
11.27
 
0.4%
136
 
0.3%
Other values (82)211
 
11.5%
(Missing)1549
84.4%
ValueCountFrequency (%)
8.95
0.3%
91
 
0.1%
9.22
 
0.1%
9.31
 
0.1%
9.52
 
0.1%
ValueCountFrequency (%)
25.31
0.1%
24.92
0.1%
24.81
0.1%
23.61
0.1%
21.61
0.1%

globulin
Real number (ℝ≥0)

MISSING

Distinct152
Distinct (%)54.1%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean33.35587189
Minimum10.1
Maximum50.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:14.366296image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10.1
5-th percentile25.8
Q129.7
median32.7
Q336.5
95-th percentile43.1
Maximum50.6
Range40.5
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation5.715840399
Coefficient of variation (CV)0.1713593462
Kurtosis1.243031561
Mean33.35587189
Median Absolute Deviation (MAD)3.4
Skewness0.1844728571
Sum9373
Variance32.67083147
MonotocityNot monotonic
2021-04-05T18:34:14.440988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.76
 
0.3%
39.25
 
0.3%
29.65
 
0.3%
31.55
 
0.3%
32.45
 
0.3%
35.74
 
0.2%
31.44
 
0.2%
33.44
 
0.2%
28.94
 
0.2%
31.34
 
0.2%
Other values (142)235
 
12.8%
(Missing)1555
84.7%
ValueCountFrequency (%)
10.11
0.1%
15.41
0.1%
18.51
0.1%
21.31
0.1%
21.91
0.1%
ValueCountFrequency (%)
50.61
0.1%
50.41
0.1%
49.61
0.1%
491
0.1%
48.21
0.1%

γ-glutamyl_transpeptidase
Real number (ℝ≥0)

MISSING

Distinct99
Distinct (%)35.2%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean53.80782918
Minimum7
Maximum732
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:14.519185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12
Q121
median35
Q359
95-th percentile155
Maximum732
Range725
Interquartile range (IQR)38

Descriptive statistics

Standard deviation71.75393525
Coefficient of variation (CV)1.333522209
Kurtosis41.15668698
Mean53.80782918
Median Absolute Deviation (MAD)15
Skewness5.584000188
Sum15120
Variance5148.627224
MonotocityNot monotonic
2021-04-05T18:34:14.595294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1811
 
0.6%
209
 
0.5%
339
 
0.5%
309
 
0.5%
278
 
0.4%
218
 
0.4%
287
 
0.4%
357
 
0.4%
156
 
0.3%
396
 
0.3%
Other values (89)201
 
10.9%
(Missing)1555
84.7%
ValueCountFrequency (%)
71
 
0.1%
82
 
0.1%
92
 
0.1%
101
 
0.1%
116
0.3%
ValueCountFrequency (%)
7321
0.1%
5731
0.1%
4161
0.1%
3931
0.1%
2701
0.1%

international_standard_ratio
Real number (ℝ≥0)

MISSING

Distinct71
Distinct (%)37.8%
Missing1648
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean1.240691489
Minimum0.84
Maximum4.69
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:14.674172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.84
5-th percentile0.95
Q11.03
median1.12
Q31.2925
95-th percentile1.8585
Maximum4.69
Range3.85
Interquartile range (IQR)0.2625

Descriptive statistics

Standard deviation0.4364318748
Coefficient of variation (CV)0.3517650266
Kurtosis28.06527173
Mean1.240691489
Median Absolute Deviation (MAD)0.12
Skewness4.605228941
Sum233.25
Variance0.1904727813
MonotocityNot monotonic
2021-04-05T18:34:14.749202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.049
 
0.5%
1.057
 
0.4%
1.077
 
0.4%
1.067
 
0.4%
1.036
 
0.3%
1.016
 
0.3%
0.996
 
0.3%
1.096
 
0.3%
1.235
 
0.3%
0.965
 
0.3%
Other values (61)124
 
6.8%
(Missing)1648
89.8%
ValueCountFrequency (%)
0.841
0.1%
0.851
0.1%
0.892
0.1%
0.922
0.1%
0.931
0.1%
ValueCountFrequency (%)
4.691
0.1%
3.691
0.1%
3.321
0.1%
2.641
0.1%
2.461
0.1%

basophil_count(#)
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)3.2%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean0.0157605178
Minimum0
Maximum0.11
Zeros66
Zeros (%)3.6%
Memory size14.5 KiB
2021-04-05T18:34:14.816433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.01
Q30.02
95-th percentile0.04
Maximum0.11
Range0.11
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.01509131064
Coefficient of variation (CV)0.9575390119
Kurtosis7.023165482
Mean0.0157605178
Median Absolute Deviation (MAD)0.01
Skewness2.006847268
Sum4.87
Variance0.0002277476569
MonotocityNot monotonic
2021-04-05T18:34:14.872959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.01116
 
6.3%
0.0270
 
3.8%
066
 
3.6%
0.0327
 
1.5%
0.0417
 
0.9%
0.056
 
0.3%
0.063
 
0.2%
0.072
 
0.1%
0.091
 
0.1%
0.111
 
0.1%
(Missing)1527
83.2%
ValueCountFrequency (%)
066
3.6%
0.01116
6.3%
0.0270
3.8%
0.0327
 
1.5%
0.0417
 
0.9%
ValueCountFrequency (%)
0.111
 
0.1%
0.091
 
0.1%
0.072
 
0.1%
0.063
0.2%
0.056
0.3%

2019-ncov_nucleic_acid_detection
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.6%
Missing1680
Missing (%)91.5%
Memory size14.5 KiB
-1.0
156 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.0
2nd row-1.0
3rd row-1.0
4th row-1.0
5th row-1.0
ValueCountFrequency (%)
-1.0156
 
8.5%
(Missing)1680
91.5%

mean_corpuscular_hemoglobin_
Real number (ℝ≥0)

MISSING

Distinct97
Distinct (%)31.4%
Missing1527
Missing (%)83.2%
Infinite0
Infinite (%)0.0%
Mean31.13430421
Minimum20.4
Maximum50.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:14.995439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum20.4
5-th percentile27.3
Q129.8
median30.9
Q332.4
95-th percentile35
Maximum50.8
Range30.4
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation3.133686046
Coefficient of variation (CV)0.1006505886
Kurtosis9.801446578
Mean31.13430421
Median Absolute Deviation (MAD)1.4
Skewness1.235059761
Sum9620.5
Variance9.819988232
MonotocityNot monotonic
2021-04-05T18:34:15.070896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3013
 
0.7%
31.710
 
0.5%
30.910
 
0.5%
30.39
 
0.5%
30.18
 
0.4%
31.68
 
0.4%
30.78
 
0.4%
29.57
 
0.4%
317
 
0.4%
32.17
 
0.4%
Other values (87)222
 
12.1%
(Missing)1527
83.2%
ValueCountFrequency (%)
20.41
0.1%
20.71
0.1%
20.82
0.1%
22.31
0.1%
22.81
0.1%
ValueCountFrequency (%)
50.81
0.1%
47.91
0.1%
44.21
0.1%
42.51
0.1%
40.11
0.1%

activation_of_partial_thromboplastin_time
Real number (ℝ≥0)

MISSING

Distinct119
Distinct (%)73.9%
Missing1675
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean42.04409938
Minimum21.8
Maximum124.6
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:15.150493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum21.8
5-th percentile32.9
Q136.4
median39.9
Q345.1
95-th percentile58.3
Maximum124.6
Range102.8
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation10.35405624
Coefficient of variation (CV)0.2462665723
Kurtosis25.07245896
Mean42.04409938
Median Absolute Deviation (MAD)4
Skewness3.730150591
Sum6769.1
Variance107.2064806
MonotocityNot monotonic
2021-04-05T18:34:15.226201image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.14
 
0.2%
41.14
 
0.2%
37.33
 
0.2%
35.93
 
0.2%
34.43
 
0.2%
40.13
 
0.2%
42.33
 
0.2%
34.73
 
0.2%
34.92
 
0.1%
362
 
0.1%
Other values (109)131
 
7.1%
(Missing)1675
91.2%
ValueCountFrequency (%)
21.81
0.1%
28.21
0.1%
29.41
0.1%
30.41
0.1%
30.81
0.1%
ValueCountFrequency (%)
124.61
0.1%
75.71
0.1%
66.91
0.1%
64.71
0.1%
64.21
0.1%

high_sensitivity_c-reactive_protein
Real number (ℝ≥0)

MISSING

Distinct187
Distinct (%)84.6%
Missing1615
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean73.32533937
Minimum0.1
Maximum320
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:15.299177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q15.1
median45.4
Q3120
95-th percentile232.8
Maximum320
Range319.9
Interquartile range (IQR)114.9

Descriptive statistics

Standard deviation78.21358049
Coefficient of variation (CV)1.066665101
Kurtosis0.3680569615
Mean73.32533937
Median Absolute Deviation (MAD)43.8
Skewness1.086174021
Sum16204.9
Variance6117.364173
MonotocityNot monotonic
2021-04-05T18:34:15.373819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.65
 
0.3%
0.44
 
0.2%
14
 
0.2%
0.94
 
0.2%
0.24
 
0.2%
0.53
 
0.2%
0.82
 
0.1%
1.22
 
0.1%
46.42
 
0.1%
3.62
 
0.1%
Other values (177)189
 
10.3%
(Missing)1615
88.0%
ValueCountFrequency (%)
0.11
 
0.1%
0.24
0.2%
0.44
0.2%
0.53
0.2%
0.61
 
0.1%
ValueCountFrequency (%)
3201
0.1%
293.41
0.1%
289.21
0.1%
280.31
0.1%
279.51
0.1%

hiv_antibody_quantification
Real number (ℝ≥0)

MISSING

Distinct19
Distinct (%)20.7%
Missing1744
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean0.1070652174
Minimum0.05
Maximum0.27
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:15.442552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.06
Q10.08
median0.09
Q30.13
95-th percentile0.21
Maximum0.27
Range0.22
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.04696358289
Coefficient of variation (CV)0.438644632
Kurtosis2.540770223
Mean0.1070652174
Median Absolute Deviation (MAD)0.02
Skewness1.644546695
Sum9.85
Variance0.002205578118
MonotocityNot monotonic
2021-04-05T18:34:15.501209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0816
 
0.9%
0.0916
 
0.9%
0.0714
 
0.8%
0.110
 
0.5%
0.066
 
0.3%
0.155
 
0.3%
0.144
 
0.2%
0.114
 
0.2%
0.163
 
0.2%
0.272
 
0.1%
Other values (9)12
 
0.7%
(Missing)1744
95.0%
ValueCountFrequency (%)
0.051
 
0.1%
0.066
 
0.3%
0.0714
0.8%
0.0816
0.9%
0.0916
0.9%
ValueCountFrequency (%)
0.272
0.1%
0.241
0.1%
0.221
0.1%
0.212
0.1%
0.191
0.1%

serum_sodium
Real number (ℝ≥0)

MISSING

Distinct159
Distinct (%)53.5%
Missing1539
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean141.5127946
Minimum121.1
Maximum172.8
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:15.568816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum121.1
5-th percentile132.56
Q1137.5
median140.5
Q3143.3
95-th percentile155.54
Maximum172.8
Range51.7
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation7.20407434
Coefficient of variation (CV)0.05090758302
Kurtosis3.987991257
Mean141.5127946
Median Absolute Deviation (MAD)2.8
Skewness1.435234149
Sum42029.3
Variance51.8986871
MonotocityNot monotonic
2021-04-05T18:34:15.648241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.17
 
0.4%
137.56
 
0.3%
140.95
 
0.3%
140.75
 
0.3%
142.45
 
0.3%
138.95
 
0.3%
137.95
 
0.3%
138.34
 
0.2%
142.14
 
0.2%
140.44
 
0.2%
Other values (149)247
 
13.5%
(Missing)1539
83.8%
ValueCountFrequency (%)
121.11
0.1%
125.31
0.1%
125.91
0.1%
127.11
0.1%
127.31
0.1%
ValueCountFrequency (%)
172.81
0.1%
171.71
0.1%
171.11
0.1%
166.21
0.1%
165.31
0.1%

thrombocytocrit
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)15.3%
Missing1549
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean0.2122996516
Minimum0.02
Maximum0.51
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:15.727084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.07
Q10.15
median0.21
Q30.27
95-th percentile0.37
Maximum0.51
Range0.49
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.09045885805
Coefficient of variation (CV)0.4260904687
Kurtosis0.1229077442
Mean0.2122996516
Median Absolute Deviation (MAD)0.06
Skewness0.3751284718
Sum60.93
Variance0.008182805
MonotocityNot monotonic
2021-04-05T18:34:15.803439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.1818
 
1.0%
0.1615
 
0.8%
0.214
 
0.8%
0.2113
 
0.7%
0.2413
 
0.7%
0.2212
 
0.7%
0.2312
 
0.7%
0.2711
 
0.6%
0.1311
 
0.6%
0.2511
 
0.6%
Other values (34)157
 
8.6%
(Missing)1549
84.4%
ValueCountFrequency (%)
0.021
 
0.1%
0.031
 
0.1%
0.041
 
0.1%
0.057
0.4%
0.062
 
0.1%
ValueCountFrequency (%)
0.511
0.1%
0.51
0.1%
0.491
0.1%
0.431
0.1%
0.411
0.1%

esr
Real number (ℝ≥0)

MISSING

Distinct57
Distinct (%)57.6%
Missing1737
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean32.60606061
Minimum2
Maximum106
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:15.881262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q113
median25
Q345.5
95-th percentile79.3
Maximum106
Range104
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation24.95784944
Coefficient of variation (CV)0.7654359029
Kurtosis-0.1198609867
Mean32.60606061
Median Absolute Deviation (MAD)15
Skewness0.8547099618
Sum3228
Variance622.8942486
MonotocityNot monotonic
2021-04-05T18:34:15.965585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86
 
0.3%
135
 
0.3%
24
 
0.2%
254
 
0.2%
43
 
0.2%
403
 
0.2%
223
 
0.2%
103
 
0.2%
623
 
0.2%
393
 
0.2%
Other values (47)62
 
3.4%
(Missing)1737
94.6%
ValueCountFrequency (%)
24
0.2%
31
 
0.1%
43
0.2%
61
 
0.1%
72
0.1%
ValueCountFrequency (%)
1061
0.1%
931
0.1%
871
0.1%
851
0.1%
821
0.1%

glutamic-pyruvic_transaminase
Real number (ℝ≥0)

MISSING

Distinct79
Distinct (%)28.1%
Missing1555
Missing (%)84.7%
Infinite0
Infinite (%)0.0%
Mean38.47330961
Minimum5
Maximum1508
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:16.061111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q117
median25
Q340
95-th percentile86
Maximum1508
Range1503
Interquartile range (IQR)23

Descriptive statistics

Standard deviation92.57468124
Coefficient of variation (CV)2.406205294
Kurtosis228.7589211
Mean38.47330961
Median Absolute Deviation (MAD)10
Skewness14.45695275
Sum10811
Variance8570.071607
MonotocityNot monotonic
2021-04-05T18:34:16.159350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1915
 
0.8%
2014
 
0.8%
1512
 
0.7%
1710
 
0.5%
149
 
0.5%
219
 
0.5%
169
 
0.5%
138
 
0.4%
268
 
0.4%
117
 
0.4%
Other values (69)180
 
9.8%
(Missing)1555
84.7%
ValueCountFrequency (%)
54
0.2%
62
 
0.1%
74
0.2%
84
0.2%
96
0.3%
ValueCountFrequency (%)
15081
0.1%
2091
0.1%
1811
0.1%
1801
0.1%
1491
0.1%

egfr
Real number (ℝ≥0)

MISSING

Distinct237
Distinct (%)83.5%
Missing1552
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean83.34823944
Minimum2.6
Maximum136.2
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:16.243862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile17.6
Q168.125
median89.3
Q3102.75
95-th percentile124.185
Maximum136.2
Range133.6
Interquartile range (IQR)34.625

Descriptive statistics

Standard deviation28.89252958
Coefficient of variation (CV)0.3466483488
Kurtosis0.2427048901
Mean83.34823944
Median Absolute Deviation (MAD)16.4
Skewness-0.755025577
Sum23670.9
Variance834.7782654
MonotocityNot monotonic
2021-04-05T18:34:16.337907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.13
 
0.2%
77.43
 
0.2%
81.33
 
0.2%
103.33
 
0.2%
67.73
 
0.2%
99.63
 
0.2%
75.33
 
0.2%
118.72
 
0.1%
105.32
 
0.1%
94.92
 
0.1%
Other values (227)257
 
14.0%
(Missing)1552
84.5%
ValueCountFrequency (%)
2.61
0.1%
5.91
0.1%
7.31
0.1%
8.71
0.1%
9.11
0.1%
ValueCountFrequency (%)
136.21
0.1%
1321
0.1%
130.71
0.1%
130.41
0.1%
129.91
0.1%

creatinine
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)38.7%
Missing1552
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean98.63380282
Minimum29
Maximum1122
Zeros0
Zeros (%)0.0%
Memory size14.5 KiB
2021-04-05T18:34:16.430925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile46.15
Q158
median74
Q396.25
95-th percentile281.2
Maximum1122
Range1093
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation102.5647071
Coefficient of variation (CV)1.03985352
Kurtosis43.63804479
Mean98.63380282
Median Absolute Deviation (MAD)17.5
Skewness5.736759488
Sum28012
Variance10519.51914
MonotocityNot monotonic
2021-04-05T18:34:16.511760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
769
 
0.5%
888
 
0.4%
518
 
0.4%
648
 
0.4%
507
 
0.4%
717
 
0.4%
617
 
0.4%
856
 
0.3%
746
 
0.3%
556
 
0.3%
Other values (100)212
 
11.5%
(Missing)1552
84.5%
ValueCountFrequency (%)
292
0.1%
321
0.1%
331
0.1%
371
0.1%
391
0.1%
ValueCountFrequency (%)
11221
0.1%
7641
0.1%
5641
0.1%
5291
0.1%
4671
0.1%